Table 1.
Avg. number of weekly cases | Output from Poisson regression | |||||
---|---|---|---|---|---|---|
2017–2019 | 2020 | Difference | Coeff | 95% CI | p value | |
Panel A. All (age 11 +) | ||||||
P-cases | 35,610 | 42,387 | 6777 | 0.17 | 0.16–0.19 | < 0.001 |
Non-severe P-cases | 16,276 | 20,359 | 4083 | 0.22 | 0.20–0.24 | < 0.001 |
Severe P-cases | 20,060 | 22,912 | 2852 | 0.13 | 0.11–0.15 | < 0.001 |
P-cases, controlling for week 1–10 | 0.09 | 0.07–0.11 | < 0.001 | |||
Panel B. Subgroup P-cases | ||||||
Age 11–17 | 1444 | 1807 | 363 | 0.22 | 0.16–0.29 | < 0.001 |
Age 18–30 | 7253 | 8356 | 1103 | 0.14 | 0.11–0.17 | < 0.001 |
Age 31–64 | 21,909 | 25,872 | 3963 | 0.17 | 0.15–0.18 | < 0.001 |
Age 65 + | 5004 | 6352 | 1348 | 0.24 | 0.20–0.28 | < 0.001 |
Male | 13,631 | 15,682 | 2051 | 0.14 | 0.12–0.16 | < 0.001 |
Female | 21,979 | 26,705 | 4726 | 0.19 | 0.18–0.21 | < 0.001 |
Urban | 5002 | 6219 | 1217 | 0.22 | 0.18–0.25 | < 0.001 |
Rural | 25,605 | 29,949 | 4344 | 0.16 | 0.14–0.17 | < 0.001 |
Northern-most counties | 2498 | 2737 | 239 | 0.09 | 0.04–0.15 | 0.001 |
Panel C. 8 most common psychological diagnoses/symptoms | ||||||
P01 Feeling anxious | 2657 | 3194 | 537 | 0.18 | 0.13–0.24 | < 0.001 |
P02 Acute stress reaction | 3945 | 4724 | 779 | 0.18 | 0.14–0.22 | < 0.001 |
P03 Feeling depressed | 1570 | 2023 | 453 | 0.25 | 0.19–0.32 | < 0.001 |
P06 Sleep disturbance | 3380 | 4406 | 1026 | 0.27 | 0.22–0.31 | < 0.001 |
P29 Psych. symptom other | 3608 | 4321 | 713 | 0.18 | 0.14–0.22 | < 0.001 |
P73 Affective psychosis | 1225 | 1453 | 228 | 0.17 | 0.09–0.25 | < 0.001 |
P74 Anxiety disorder | 2963 | 3677 | 714 | 0.22 | 0.17–0.26 | < 0.001 |
P76 Depressive disorder | 8980 | 10,235 | 1255 | 0.13 | 0.10–0.16 | < 0.001 |
P81 Hyperkinetic disorder | 1420 | 2044 | 624 | 0.36 | 0.30–0.43 | < 0.001 |
P82 PTSD | 1263 | 1761 | 498 | 0.33 | 0.26–0.40 | < 0.001 |
A “P-case” is a GP consultation that related to a psychological symptom, complaint or diagnosis based on the ICPC-2 classification system. In row 4, we used four observations: average weekly cases for week 1–10 in 2017–2019, average weekly cases for week 40–51 in 2017–2019, average weekly cases for week 1–10 in 2020, and average weekly cases for week 40–51 in 2020. Using this sample, we ran a Poisson regression, regressing average number of weekly cases on a dummy for year 2020, a dummy for week 40–51, and the interaction of year 2020 and week 40–51. We report the coefficient of this interaction, which can be interpreted as the extra percentage increase in average weekly cases from 2017–2019 to 2020 compared to the increase in average weekly cases from 2017–2019 to 2020 for the pre-Covid part of the calendar year